Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Understanding the data and reaching accurate conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have been widely used for this purpose in various fields. One critically important yet less explored aspect is capturing and analyzing...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:Ann Oper Res
Autori principali: Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F., Acharya, U. Rajendra
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer US 2021
Soggetti:
Original Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7982279/
https://ncbi.nlm.nih.gov/pubmed/33776178
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10479-021-04006-2
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